Abstract
Coseismic surface displacements pose a serious threat to the safety of linear infrastructures on active faults. A reasonable evaluation of surface displacements on active faults is important. Probabilistic fault displacement hazard analysis (PFDHA) is often used for surface displacement evaluation. However, PFDHA, developed based on the classical probabilistic method, requires an in-depth study of the activity parameters of all active faults in seismic–tectonic zones, greatly limiting its application in engineering design. The recurrence interval of strong earthquakes is a readily obtainable parameter of fault activity. In this study, we combine this key parameter with various seismic indicators to develop a comprehensive algorithm to assess potential future surface displacement hazards. In addition, the factors affecting the method are analyzed, and the surface displacements of several earthquakes with a magnitude of 7 or above are compared. The results indicate that the predicted future surface displacements using our method are greater than the true displacements of seismic events. For easy use, the exceedance probability–displacement (horizontal and vertical) curves of 27 strong earthquake recurrence intervals are given. This facilitates structural designers to quickly obtain future displacement values in structural design.
1 Introduction
The destructive effects of major earthquakes on structures can be divided into two types: First, the ground motion near the faults is significantly higher than that at a distance (known as the “near-fault effect”); second, the surface displacement of the faults can tear apart all structures located above the fault. We can cope with larger ground motion by increasing seismic measures, but simply increasing seismic measures cannot resist the tearing effect of faults. The selection of project sites should follow the principle of “avoiding active faults.” However, in areas with complex faults, linear infrastructures often cannot completely avoid this. For example, the “Yunnan Central Water Diversion Project” in Yunnan, China, and the “China-Myanmar Petroleum Pipeline” both cross nearly ten active faults. If such projects fail to realize the hazard of surface displacement to active faults in design and construction, it will cause serious losses in future earthquakes [1,2,3,4]. As such, a reasonable evaluation of the displacement hazard of active faults has important theoretical significance and application value in engineering construction.
Two methods are often used to estimate the distance of fault surface displacement, but both with relatively large limitations. The first is deterministic evaluation; that is, the maximum potential earthquake magnitude on the active fault is used to estimate the corresponding maximum displacement, and the maximum displacement is assumed to be uniformly distributed along the fault [5,6]. This method does not take into account the uncertainty of key factors such as magnitude distribution, maximum displacement, stress drop, peak acceleration, and rupture length. This results in adopting conservative approaches for displacement resistance in the project, wasting unnecessary manpower, material, and financial resources. The second is the probabilistic evaluation method. The most widely used method is probabilistic fault displacement hazard analysis (PFDHA) [7,8]. The development of the PFDHA algorithm based on classic PSHA requires an in-depth understanding of the activity parameters of the entire fault or even all the faults in the seismotectonic zones [9,10]. The probabilistic methods also have similar requirements (see, e.g., the study of Wu et al. [11]). Based on these methods, if there is an insufficient understanding of the activity parameters of all faults in the seismotectonic zones, the reliability of the obtained results will be low.
In fact, the probabilistic evaluation method invests high cost and longtime in studying the activity parameters of the target and surrounding faults to obtain more accurate future displacement. The deterministic evaluation method achieves sufficient displacement on the fault and increases engineering costs in design and construction, which cannot meet the needs of scientific defense of fault surface displacement or construction organization. Construction organization generally hopes to achieve a balance between “time and cost” and “accuracy of future displacement of faults,” that is, obtain a high accuracy of surface displacement with a certain amount of research.
Multiple activity parameters can be used to describe the activity characteristics of active faults and predict the surface displacement hazard of faults, such as the latest activity era, slip rate, elapsed time of strong earthquakes, recurrence interval of strong earthquakes, unbroken segment, and locking depth [12,13,14]. In these parameters, the recurrence interval of strong earthquakes is the most important and relatively easy to obtain. Combined trench surveying with chronological testing methods, the recurrence interval of strong earthquakes at a certain point on the active fault was obtained to be about 10,000–20,000 dollars [15,16]. Based on the recurrence interval of strong earthquakes on active faults and the probabilistic evaluation method, a simple and reliable estimation method for fault surface displacement is investigated. This method is expected to provide theoretical support for the evaluation of fault displacement resistance parameters of linear infrastructures crossing active faults.
2 Methods
2.1 Methods for estimating future displacements
The seismicity on the active faults follows the revised magnitude–frequency relationship:
where b reflects the relationship between the quantity of earthquakes with different magnitudes in a certain space. b is different at different regions, and even in the same region, b calculated by different researchers may also be different. For example, Liu et al. [17] reported that b in Yunan was between 0.75 and 0.85. In the “Seismic ground motion parameters zonation map of China” [18], b in Yunnan Province and the surrounding areas was 0.8. Zhang [19] obtained a b-value of 0.7 in Yunnan by relocation. Here, b = 0.8.
The recurrence interval of strong earthquakes on the fault obtained through the paleoseismic method is T. The upper limit of the magnitude of the fault is m uz, and the lower limit of the magnitude that may cause surface displacement is m 0. The annual average incidence of earthquakes between m 0 and m uz is as follows:
m 0 and m uz are two parameters that have a great influence on the model. Huang [20] made statistics on surface displacement earthquakes in the Chinese mainland. In these earthquakes, more than 90% had ≥7 magnitudes. Therefore, this study suggests that earthquakes with a magnitude of ≥7 will cause surface displacement. The magnitudes of paleoearthquakes recorded in paleoseismic trenches are ≥7. Therefore, m 0 is taken as 7.0. The magnitudes of earthquakes within the first-order continental plate are usually not greater than 8.5. Therefore, m uz is taken as 8.5.
Assuming that the time course of earthquakes within an active fault follows a segmented Poisson process, the probability of n earthquakes occurring on the fault in year t is as follows:
The corresponding magnitude probability density function is as follows:
where β = bln10. In actual work, the magnitude m is divided into Nm bins, where m j represents the magnitude bin in the magnitude range (m j ± Δm/2). Then, the annual incidence of a m j -file earthquake within the fault is as follows:
The number of m j earthquakes that will occur on the fault in the next t-year is as follows:
Historical earthquake statistics show that surface displacements caused by earthquakes of different magnitudes are also different, and the displacement distance is positively correlated with the earthquake magnitude. The number of earthquakes with a displacement distance greater than d in the next year t is as follows:
where q i (d) is the conditional probability that surface displacements caused by a m i magnitude earthquake exceed level d. We consider that the probability of these m(d,t) earthquakes occurring in the next t year does not change over time, and then the probability of an event exceeding the surface displacement d in the next t year is as follows:
2.2 Statistical relationship between surface displacements and magnitude
Due to the differences in sample selection, the statistical relationships between surface displacements and magnitude obtained by different researchers are often different. We select the statistical relationship obtained by Huang [20] based on earthquakes in the Chinese mainland. A total of 46 horizontal displacements and 39 vertical displacements were collected by Huang [20]. The least-squares method is used for regression analysis. The regression formula is as follows:
2.3 Method for the acquisition of strong earthquake recurrence interval
The concept of “recurrence interval” is widely used for hazard assessment in seismology [21]. The more common methods for determining recurrence intervals include paleoseismology, seismology, and geodetic methods [22,23]. The recurrence intervals derived from different methods have distinct implications. We pay more attention to the recurrence intervals of strong earthquakes that may cause surface displacements. The recurrence intervals obtained from paleoseismology largely correspond to those of strong earthquakes capable of generating surface displacements. Therefore, the recurrence intervals derived from paleoseismology are more suitable for the study of surface displacement hazards.
Paleoseismology [24] obtains the relationship between faults and strata through methods such as trenching and drilling and then uses dating methods such as Carbon-14, Chlorine-36, Optical dating, REEs, and bioluminescence (see, e.g., previous studies [25,26]) to determine the timing of paleoearthquakes. This is currently the mainstream and reliable method for obtaining recurrence intervals of strong earthquakes in earthquake engineering. The history of seismic records is relatively short compared with the recurrence interval of strong earthquakes. For example, China and Italy have the longest history of seismic records, with 2,000–3,000 years, and the recurrence interval of strong earthquakes on active faults is generally several to tens of thousands of years. With such a long recurrence interval, even with China’s 3,000-year historical seismic record, its time span is still only one part of the earthquake recurrence interval. Therefore, the sequences of strong earthquakes occurring on major active faults are obtained using paleoseismic research methods.
3 Results
In the seismic fortification design of bridges and tunnels in Chinese mainland, the E2 seismic action, that is, the return periods most concerned by designers are 2,000, 1,000, and 475 years (their corresponding exceedance probabilities are about 5% and 10% in 100 years, and 10% in 50 years). Using the method described in the previous section, the horizontal and vertical displacements are calculated for different exceedance probabilities under four recurrence intervals of active faults. The results are shown in Figure 1. The four lines represent active faults with different activity intensities: the red, green, blue, and black lines represent the active faults with recurrence intervals of 1,000, 2,000, 5,000, and 10,000 years, respectively. There was only one earthquake event during the entire Holocene period for faults with a recurrence interval of 10,000 years.

(a) Horizontal displacement and (b) vertical displacement. The red, green, blue, and black lines represent the active fault with a recurrence interval of 1,000, 2,000, 5,000, and 10,000 years, respectively. The dotted line represents the exceedance probability, which is of greater concern in engineering design. The numbers above the dotted line are the recurrence intervals of strong earthquakes corresponding to the exceedance probability. Other parameters used in the calculation are b = 0.8, m 0 = 7, and m uz = 8.5.
For ease of use, we list the horizontal displacements and vertical displacements corresponding to some important exceedance probabilities (recurrence intervals) of Figure 1, as shown in Table 1. Based on the above results, we can draw the following conclusions:
For the Holocene faults with a recurrence interval of strong earthquakes greater than or equal to 10,000 years, this type of fault cannot generate surface rupture. Whether it is a bridge or a tunnel, the possibility of surface displacement does not need to be considered in the second-stage seismic design (Earthquake action E2). The possibility of surface displacement only needs to be considered when the E2 recurrence interval of a project is close to or exceeds 10,000 years;
For Holocene faults with a recurrence interval of strong earthquakes of approximately 5,000 years, only particularly important bridges and tunnels (with an E2 return period close to or greater than 5,000 years) need to consider surface displacement. When the recurrence interval of strong earthquakes on the fault is lower than 2,000 years, the hazard of surface displacement needs to be taken into account;
Assuming the return period of E2 in the construction project is T1, and the recurrence interval of strong earthquakes on active faults is T2, when T1 ≥ T2, the hazard of surface horizontal and vertical displacements needs to be considered. It should be noted that in the present study, a 7-magnitude earthquake is used as the minimum magnitude (m 0) for an earthquake that causes surface rupture. When introducing a 7-magnitude earthquake into equations (9) and (10), the displacements obtained are 1.9 and 1.1 m, respectively. Therefore, in the calculation results, there will be no displacement lower than these two figures.
Horizontal and vertical displacements at the surface under four recurrence intervals and five exceedance probabilities of active faults
| Recurrence interval (a) | Horizontal displacement (m) | Vertical displacement (m) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 100a 1% | 100a 2% | 100a 5% | 100a 10% | 50a 10% | 100a 1% | 100a 2% | 100a 5% | 100a 10% | 50a 10% | |
| 10,000 | 2.00 | — | — | — | — | 1.19 | — | — | — | — |
| 5,000 | 2.95 | 2.00 | — | — | — | 1.66 | 1.19 | — | — | — |
| 2,000 | 4.68 | 3.31 | 2.00 | — | — | 2.45 | 1.84 | 1.19 | — | — |
| 1,000 | 6.31 | 4.68 | 2.95 | 2.00 | — | 3.24 | 2.45 | 1.66 | 1.19 | — |
4 Discussion
Based on the previous analysis, the accuracy of the proposed displacement estimation method may be affected by the following factors: strong earthquake recurrence interval T, b-value, minimum magnitude m 0, upper limit m uz of the fault magnitude, and the statistical relationship between magnitude and displacement distance.
4.1 b-Value
The b-value reflects the proportional relationship between the number of small earthquakes and large earthquakes in some areas. A larger b means a larger proportion of small-magnitude earthquakes in the earthquake series. In the same area, b-values calculated by different researchers may be different. Figure 2(a) shows the exceedance probability–displacement curves of b-values of 0.8 (red line) and 0.7 (green line). It can be observed that (1) when the b-value decreases from 0.8 to 0.7, the displacement (when the 100-year exceedance probability is 5%) increases by 3.5%; (2) the displacement distance and b-value are negatively correlated; (3) the difference was the largest at an exceedance probability of 2–4%, and the gap gradually decreases to both sides. On the premise that the global average b is approximately 1, the displacement calculated based on b = 0.8 is conservative and safe.

Effect of different parameters on the calculation results. (a) Different values of b (0.8 and 0.7), (b) different m 0 values (7.0 and 6.8), (c) different m uz values (8.0 and 8.5), and (d) different magnitude–displacement statistical relationships (regional and global) (circles and squares represent earthquakes in China and other countries, respectively).
4.2 Minimum magnitude m 0 of generating surface displacements
Based on earthquake examples in the Chinese mainland, an earthquake with a magnitude of ≥7 will generate surface displacement. Huang [20] calculated the relationship between the magnitude and rupture of earthquakes and found that four earthquakes with magnitudes <7 had horizontal surface displacements. Figure 2(b) shows the m 0 values of 7.0 (red line) and 6.8 (blue line). Under all exceedance probabilities, the smaller the m 0 is, the smaller the displacement distance. Therefore, a m 0 value of 7.0 is scientific and safe for structural design.
m 0 = 7 is used in the calculation. However, earthquake damage around the world indicates that 6.0–6.9 magnitude earthquakes can also cause surface displacements. For instance, 1980 Mammoth Lake M w 6.2 earthquake (e.g., the study of Clark and Yount [27]), 1980 Irpinia M w 6.9 earthquake (e.g., the study of Bello et al. [28]), 1983 Borah Peak M w 6.9 earthquake (e.g., the study of Bello et al. [29]), 1987 Edgecumbe M w 6.2 earthquake (e.g., the study of Berrill et al. [30]), 2016 Parina M w 6.1 earthquake (e.g., the study of Aguirre et al. [31]), and central Italy 2016 M w 6.5 earthquake (e.g., the study of Brozzetti et al. [32]). It should be noted that m 0 is influenced by different factors, such as the depth of the earthquake source and the thickness of the cover layer. In some regions around the world, 6.5 or even 6.0 magnitude earthquakes are more likely to cause surface displacements. In these cases, the interval of strong earthquakes revealed by surface trenching is the recurrence interval of 6.5 or 6.0 magnitude earthquakes. It is evident that the seismic hazard of an earthquake with a recurrence interval of T years at 6.5 magnitude is lower than that at 7.0 magnitude. In such cases, using m 0 = 7.0 to assess surface displacement values may overestimate the risk.
4.3 Upper magnitude limit m uz
The maximum earthquake magnitude occurring on the Holocene active fault is the upper magnitude limit. Based on the difference in the intensity of Holocene fault activity, the upper magnitude limit can be set to M7.5, M8.0, and M8.5. From the perspective of historical earthquakes, active faults within tectonic plates usually do not have the structural conditions to generate 8.6 or greater magnitude earthquakes. According to the historical seismic records in the Chinese mainland, the magnitude of the largest earthquake also did not exceed 8.5. Figure 2(c) shows the exceedance probability–displacement diagram of the upper magnitude limit at M8.5 (red line) and M8.0 (black line). It can be observed that, the lower the m uz is, the smaller the surface displacement distance. However, this difference is not significant and only becomes significant when the probability of exceeding 100 years is less than 3%. M w > 8 earthquakes often only occur at the first- or second-order plate boundaries, while M w > 8.5 earthquakes often only occur at the first-order plate boundaries. Most of the active faults within the plate do not have the tectonic conditions required for earthquakes of magnitude ≥8.0, and m uz = 8.5 is taken. The resulting surface displacement will exceed the actual surface displacement hazard values of the fault. If we use the surface displacement obtained from calculations in the structural design, the hazard of surface displacement will not be underestimated.
4.4 Sensitivity of parameters
Three seismic activity parameters, b-value, m 0, and m uz, are used in the calculation. To further analyze the impact of these parameters on the computational results, we calculate the sensitivity of the b-value, m 0, and m uz of an active fault with a strong earthquake recurrence interval of 1,000 years, assuming an exceedance probability of 4% within 100 years. The calculation results are shown in Figure 3. A decrease of 0.1 in b-value will increase to 0.08–0.22 m in surface displacement (Figure 3(a)); an increase of 0.1 in m 0 will increase to 0.11–0.41 m in surface displacement (Figure 3(b)); an increase of 0.1 in m uz will increase to 0.02–0.09 m in surface displacement (Figure 3(c)). The uncertainty of the b-value does not exceed 0.2, that of m 0 can generally reach 0.5, and that of m uz generally does not exceed 0.5. Therefore, the error in surface displacement caused by b-value and m uz will not exceed 0.5 m, and that caused by m 0 could reach 1–2 m. Therefore, when using this method to assess the hazard of surface displacement on active faults, special attention should be paid to the selection of m 0.

Sensitivity of parameters: (a) b-value, (b) m 0, and (c) m uz.
4.5 Statistical relationship between magnitude and displacement distance
This parameter is the most important factor affecting the results of surface displacement hazard analysis. We compare the statistical relationship used with the statistical relationship of Wells and Coppersmith [33], the latter being the most widely used international model (Figure 2(d)). Figure 2(d) shows that there is a significant difference between the two groups. Taking an exceedance probability of 1% within 100 years as an example, the displacement distance calculated by the proposed statistical relationship is 6.3 m, and that using the Wells and Coppersmith [33] is 19.1 m, the latter being three times that of the former. The surface displacement distances of several 7–8 magnitude earthquakes in the Chinese mainland, Turkey, Japan, and the USA are as follows:
1920 Haiyuan M8.6 earthquake: its maximum horizontal displacement was 11 m [34];
1931 Fuyun Ms8 earthquake: its maximum horizontal displacement was 6.7 m, and its average horizontal displacement was 6.3 m [35];
2001 west Kunlun Ms8.1 earthquake: its maximum horizontal displacement was 6.4 m, and the maximum vertical displacement was 4 m [36];
2008 Wenchuan Ms8.0 earthquake: its maximum horizontal displacement was 6.8 m, with an average horizontal displacement of 3.1 m; its maximum vertical displacement was 6.2 m; with an average vertical displacement of 2.9 m [37];
2014 Yutian Ms7.3 earthquake: its maximum horizontal displacement was 0.9 m [38];
2021 Maduo Ms7.4 earthquake: its maximum horizontal displacement was 2.6 m [39];
1990 Philippines Ms7.8 earthquake: its maximum horizontal displacement was 6.2 m [33];
1992 Landers Ms7.6 earthquake: its maximum horizontal displacement was 6.0 m [33];
2023 eastern Turkey M w 7.8 earthquake: its maximum horizontal displacement was 6.8 m [40];
2024 Noto Peninsula M w 7.5 earthquake: its maximum displacement was 10 m [41].
These four earthquakes are shown in Figure 2(d) (under the premise that the strong earthquake recurrence interval of fault is 1,000 years and the b-value is 1). It can be seen from the locations in Figure 2(d) that the regional model used is suitable for the estimation of displacements in the Chinese mainland. In Figure 2(d), the squares indicate that the surface displacement distance of earthquakes in other countries significantly deviates from the proposed regional model. Therefore, if this method is used in the construction design of other countries to assess the future surface displacement hazard of active faults, it is necessary to choose the magnitude–displacement statistical relationship suitable for the project area; otherwise, it will lead to enormous errors.
4.6 Comparison with other probabilistic assessment methods
Youngs et al. [7] first proposed a probabilistic seismic displacement hazard assessment method for calculating the annual exceedance probability of a given displacement. Based on the PFDHA method, Moss and Ross [42] proposed a displacement probability analysis method for reverse faults. Petersen et al. [43] further studied this method and expanded the analysis for strike-slip faults. Subsequently, PFDHA was used to assess the future surface displacement hazard of faults. Compared with these methods, the proposed method has the following differences: First, we combine the displacement approach with the earthquake approach in PHDHA rather than choosing one method alone. From the perspective of geotechnical engineering, the displacement approach and the earthquake approach have their disadvantages. For example, the occurrence pattern of large earthquakes may deviate from the Gutenberg–Richter Law, and in geotechnical engineering, we are more concerned with the probability of large earthquakes. Second, we are not concerned with off-fault displacement on distribution faults. Off-fault deformation generally occurs over a wider range (100–300 m) and the displacement values are not significant, and its hazard is far less than the displacement on the principal fault. In seismic design codes, it is important to avoid major faults rather than distribution faults. Therefore, the displacements provided are all displacements on the main fault.
4.7 Limitations and future work
The parameters of recurrence intervals of strong earthquakes are used in the proposed method. If high-precision data are obtained on the recurrence intervals, the future surface displacement hazards can be accurately assessed. However, due to the reliability of dating methods, the uncertainty of stratigraphic ages, and the limited statistical analysis data, the recurrence interval data obtained may not be highly accurate. Addressing data uncertainty, future work might focus on studying the relationship between the recurrence interval from trenching and the recurrence interval from seismology.
Another limitation is that, like other surface displacement assessment methods, the results evaluated represent the maximum surface displacement distances. During a major earthquake, surface displacement may not occur along all segments of the fault; even in segments where surface displacement does occur, the values may vary significantly. For example, the maximum surface displacement in the 2021 Maduo M w 7.4 earthquake was 2.6 m, but 30% of the area had no surface displacement, and 60% of the area had surface displacement values less than 1 m [39]. Therefore, evaluating the differential distribution of surface displacement and reasonably assessing the displacement values of structural locations may be a direction for future research.
5 Usage and examples
The usage is as follows:
The recurrence interval (T) of strong earthquakes near the structure site was exposed through trenches; the lateral angle of fault scratches was obtained through trenches and nearby fault sections.
Determine the fortification period of the project and convert it to the exceedance probability.
In Figure 4, the intersection point of the recurrence interval and the fortification exceedance probability are identified, and the horizontal displacement and vertical displacement of the fault can be calculated according to the vertical axis corresponding to the intersection point.
The total amount of displacements is calculated based on the horizontal displacement and the vertical displacement, and the total displacement is distributed in the horizontal and vertical directions according to the lateral angle of the scratches. If there are no data on the lateral angle, the data obtained in Step (3) can be used as the final result.

Exceedance probability–displacement curves of the active fault at different recurrence intervals: (a) horizontal displacement and (b) vertical displacement.
For example, when an oil pipeline passes through fault A, we excavate trenches near the intersection point. The recurrence interval of ancient earthquakes on the faults revealed by the trenches is 1,600 years. The lateral angle of the scratch is 20°. According to the importance of this pipeline, the recurrence periods that need to be obtained are 2,450 years (4% exceedance probability in 100 years) and 950 years (10% exceedance probability in 100 years).
In Figure 4, the year 1,580 is the closest to the year 1,600. The intersection points of the curve corresponding to 1,580 and x = 0.04 are 0.41 and 0.17, respectively. The calculated horizontal displacement and vertical displacement are 2.57 and 1.48 m, respectively. Based on this, the total displacement is calculated to be 2.9657 m. At a lateral angle of 20°, the horizontal displacement is 2.9657 × cos 20° = 2.79 m, and the vertical displacement is 2.9657 × sin 20 = 1.01 m. Therefore, on the time scale of 2,450 years return period, a horizontal displacement of 2.79 m and a vertical displacement of 1.01 m need to be considered. The curves corresponding to 1,580 and x = 0.10 have no intersection. Therefore, on the time scale of a 950-year return period, the surface displacements on active faults can be ignored.
The usages in other countries and regions are similar to those used in western China. That is, after consulting and calculating the horizontal displacement and vertical displacement of the fault, the results are converted to earthquake magnitudes according to equations (9) and (10). Then, based on the regional magnitude-surface displacement distance empirical relationships, the earth-quake magnitude is converted to new horizontal displacement and vertical displacement.
6 Conclusions
To summarize and absorb the results of previous studies, the data on the recurrence intervals of strong earthquakes on active faults and the classic probabilistic seismic hazard analysis method are used to achieve a general method for hazard analysis of probabilistic fault displacement.
Based on this method, the exceedance probability curves of the horizontal and vertical displacements of active faults with different recurrence intervals are calculated. The calculation results show that if the recurrence interval of strong earthquakes on a fault is longer than the return period considered of a structure, the influence of surface displacement on active faults can be ignored.
Exceedance probability–displacement curves of 27 recurrence intervals were calculated, and the diagrams were drawn (Figure 4). Designers can easily obtain vertical and horizontal displacements based on the recurrence interval of active faults and the recurrence period of seismic effects in engineering design. Designers from other countries and regions should ensure that the calculation parameters are consistent with our proposed ones before using the results. Otherwise, they should use the proposed method to recalculate or convert.
Parameters b-value and m uz have a relatively minor impact on the assessment of surface displacement, while m 0 and the magnitude–displacement empirical relationship has a significant influence on its assessment. If a small earthquake in a certain area can also cause surface displacement, or if the magnitude–displacement empirical relationship is substantially different from the relationship used here, the results should not be directly applied. On the contrary, the proposed method should be reapplied with appropriate parameters for new calculations.
Acknowledgments
The authors are grateful to the editor and the anonymous reviewers for their thorough and constructive reviews, which greatly improved the quality of this manuscript.
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Funding information: This paper was funded by the Key Research and Development Plan of Yunnan Province (No. 202203AC100003), and Science and Technology Innovation Program of Yunnan Earthquake Agency (CXTD202408).
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Author contributions: Qingyun Zhou performed methodology, formal analysis, and wrote the manuscript; Xianfu Bai performed funding acquisition, review, and editing; Jingnan Liu, Peng Tian, and Yue Yang participated in review. Weidong Luo and Zhenyu Zou revised the manuscript.
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Conflict of interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Data availability statement: All the data used in this article has been presented in the manuscript.
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Articles in the same Issue
- Research Articles
- Seismic response and damage model analysis of rocky slopes with weak interlayers
- Multi-scenario simulation and eco-environmental effect analysis of “Production–Living–Ecological space” based on PLUS model: A case study of Anyang City
- Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China
- GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India
- Natural gas origin and accumulation of the Changxing–Feixianguan Formation in the Puguang area, China
- Spatial variations of shear-wave velocity anomaly derived from Love wave ambient noise seismic tomography along Lembang Fault (West Java, Indonesia)
- Evaluation of cumulative rainfall and rainfall event–duration threshold based on triggering and non-triggering rainfalls: Northern Thailand case
- Pixel and region-oriented classification of Sentinel-2 imagery to assess LULC dynamics and their climate impact in Nowshera, Pakistan
- The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater recharge prospective zones in arid-semi arid lands
- Effect of pore throats on the reservoir quality of tight sandstone: A case study of the Yanchang Formation in the Zhidan area, Ordos Basin
- Hydroelectric simulation of the phreatic water response of mining cracked soil based on microbial solidification
- Spatial-temporal evolution of habitat quality in tropical monsoon climate region based on “pattern–process–quality” – a case study of Cambodia
- Early Permian to Middle Triassic Formation petroleum potentials of Sydney Basin, Australia: A geochemical analysis
- Micro-mechanism analysis of Zhongchuan loess liquefaction disaster induced by Jishishan M6.2 earthquake in 2023
- Prediction method of S-wave velocities in tight sandstone reservoirs – a case study of CO2 geological storage area in Ordos Basin
- Ecological restoration in valley area of semiarid region damaged by shallow buried coal seam mining
- Hydrocarbon-generating characteristics of Xujiahe coal-bearing source rocks in the continuous sedimentary environment of the Southwest Sichuan
- Hazard analysis of future surface displacements on active faults based on the recurrence interval of strong earthquakes
- Structural characterization of the Zalm district, West Saudi Arabia, using aeromagnetic data: An approach for gold mineral exploration
- Research on the variation in the Shields curve of silt initiation
- Reuse of agricultural drainage water and wastewater for crop irrigation in southeastern Algeria
- Assessing the effectiveness of utilizing low-cost inertial measurement unit sensors for producing as-built plans
- Analysis of the formation process of a natural fertilizer in the loess area
- Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco)
- Chemical dissolution and the source of salt efflorescence in weathering of sandstone cultural relics
- Molecular simulation of methane adsorption capacity in transitional shale – a case study of Longtan Formation shale in Southern Sichuan Basin, SW China
- Evolution characteristics of extreme maximum temperature events in Central China and adaptation strategies under different future warming scenarios
- Estimating Bowen ratio in local environment based on satellite imagery
- 3D fusion modeling of multi-scale geological structures based on subdivision-NURBS surfaces and stratigraphic sequence formalization
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- Study on the mechanism of plant root influence on soil properties in expansive soil areas
- Simulation of seismic hazard parameters and earthquakes source mechanisms along the Red Sea rift, western Saudi Arabia
- Tectonics vs sedimentation in foredeep basins: A tale from the Oligo-Miocene Monte Falterona Formation (Northern Apennines, Italy)
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- Predicting coastal variations in non-storm conditions with machine learning
- Cross-dimensional adaptivity research on a 3D earth observation data cube model
- Geochronology and geochemistry of late Paleozoic volcanic rocks in eastern Inner Mongolia and their geological significance
- Spatial and temporal evolution of land use and habitat quality in arid regions – a case of Northwest China
- Ground-penetrating radar imaging of subsurface karst features controlling water leakage across Wadi Namar dam, south Riyadh, Saudi Arabia
- Rayleigh wave dispersion inversion via modified sine cosine algorithm: Application to Hangzhou, China passive surface wave data
- Fractal insights into permeability control by pore structure in tight sandstone reservoirs, Heshui area, Ordos Basin
- Debris flow hazard characteristic and mitigation in Yusitong Gully, Hengduan Mountainous Region
- Research on community characteristics of vegetation restoration in hilly power engineering based on multi temporal remote sensing technology
- Identification of radial drainage networks based on topographic and geometric features
- Trace elements and melt inclusion in zircon within the Qunji porphyry Cu deposit: Application to the metallogenic potential of the reduced magma-hydrothermal system
- Pore, fracture characteristics and diagenetic evolution of medium-maturity marine shales from the Silurian Longmaxi Formation, NE Sichuan Basin, China
- Study of the earthquakes source parameters, site response, and path attenuation using P and S-waves spectral inversion, Aswan region, south Egypt
- Source of contamination and assessment of potential health risks of potentially toxic metal(loid)s in agricultural soil from Al Lith, Saudi Arabia
- Regional spatiotemporal evolution and influencing factors of rural construction areas in the Nanxi River Basin via GIS
- An efficient network for object detection in scale-imbalanced remote sensing images
- Effect of microscopic pore–throat structure heterogeneity on waterflooding seepage characteristics of tight sandstone reservoirs
- Environmental health risk assessment of Zn, Cd, Pb, Fe, and Co in coastal sediments of the southeastern Gulf of Aqaba
- A modified Hoek–Brown model considering softening effects and its applications
- Evaluation of engineering properties of soil for sustainable urban development
- The spatio-temporal characteristics and influencing factors of sustainable development in China’s provincial areas
- Application of a mixed additive and multiplicative random error model to generate DTM products from LiDAR data
- Gold vein mineralogy and oxygen isotopes of Wadi Abu Khusheiba, Jordan
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- Land use classification through fusion of remote sensing images and multi-source data
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- Analysis of the spillover effects of green organic transformation on sustainable development in ethnic regions’ agriculture and animal husbandry
- Factors impacting spatial distribution of black and odorous water bodies in Hebei
- Large-scale shaking table tests on the liquefaction and deformation responses of an ultra-deep overburden
- Impacts of climate change and sea-level rise on the coastal geological environment of Quang Nam province, Vietnam
- Reservoir characterization and exploration potential of shale reservoir near denudation area: A case study of Ordovician–Silurian marine shale, China
- Seismic prediction of Permian volcanic rock reservoirs in Southwest Sichuan Basin
- Application of CBERS-04 IRS data to land surface temperature inversion: A case study based on Minqin arid area
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- Regional patterns in cause-specific mortality in Montenegro, 1991–2019
- Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina
- Flash flood susceptibility mapping using LiDAR-Derived DEM and machine learning algorithms: Ljuboviđa case study, Serbia
- Geocultural heritage as a basis for geotourism development: Banjska Monastery, Zvečan (Serbia)
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Articles in the same Issue
- Research Articles
- Seismic response and damage model analysis of rocky slopes with weak interlayers
- Multi-scenario simulation and eco-environmental effect analysis of “Production–Living–Ecological space” based on PLUS model: A case study of Anyang City
- Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China
- GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India
- Natural gas origin and accumulation of the Changxing–Feixianguan Formation in the Puguang area, China
- Spatial variations of shear-wave velocity anomaly derived from Love wave ambient noise seismic tomography along Lembang Fault (West Java, Indonesia)
- Evaluation of cumulative rainfall and rainfall event–duration threshold based on triggering and non-triggering rainfalls: Northern Thailand case
- Pixel and region-oriented classification of Sentinel-2 imagery to assess LULC dynamics and their climate impact in Nowshera, Pakistan
- The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater recharge prospective zones in arid-semi arid lands
- Effect of pore throats on the reservoir quality of tight sandstone: A case study of the Yanchang Formation in the Zhidan area, Ordos Basin
- Hydroelectric simulation of the phreatic water response of mining cracked soil based on microbial solidification
- Spatial-temporal evolution of habitat quality in tropical monsoon climate region based on “pattern–process–quality” – a case study of Cambodia
- Early Permian to Middle Triassic Formation petroleum potentials of Sydney Basin, Australia: A geochemical analysis
- Micro-mechanism analysis of Zhongchuan loess liquefaction disaster induced by Jishishan M6.2 earthquake in 2023
- Prediction method of S-wave velocities in tight sandstone reservoirs – a case study of CO2 geological storage area in Ordos Basin
- Ecological restoration in valley area of semiarid region damaged by shallow buried coal seam mining
- Hydrocarbon-generating characteristics of Xujiahe coal-bearing source rocks in the continuous sedimentary environment of the Southwest Sichuan
- Hazard analysis of future surface displacements on active faults based on the recurrence interval of strong earthquakes
- Structural characterization of the Zalm district, West Saudi Arabia, using aeromagnetic data: An approach for gold mineral exploration
- Research on the variation in the Shields curve of silt initiation
- Reuse of agricultural drainage water and wastewater for crop irrigation in southeastern Algeria
- Assessing the effectiveness of utilizing low-cost inertial measurement unit sensors for producing as-built plans
- Analysis of the formation process of a natural fertilizer in the loess area
- Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco)
- Chemical dissolution and the source of salt efflorescence in weathering of sandstone cultural relics
- Molecular simulation of methane adsorption capacity in transitional shale – a case study of Longtan Formation shale in Southern Sichuan Basin, SW China
- Evolution characteristics of extreme maximum temperature events in Central China and adaptation strategies under different future warming scenarios
- Estimating Bowen ratio in local environment based on satellite imagery
- 3D fusion modeling of multi-scale geological structures based on subdivision-NURBS surfaces and stratigraphic sequence formalization
- Comparative analysis of machine learning algorithms in Google Earth Engine for urban land use dynamics in rapidly urbanizing South Asian cities
- Study on the mechanism of plant root influence on soil properties in expansive soil areas
- Simulation of seismic hazard parameters and earthquakes source mechanisms along the Red Sea rift, western Saudi Arabia
- Tectonics vs sedimentation in foredeep basins: A tale from the Oligo-Miocene Monte Falterona Formation (Northern Apennines, Italy)
- Investigation of landslide areas in Tokat-Almus road between Bakımlı-Almus by the PS-InSAR method (Türkiye)
- Predicting coastal variations in non-storm conditions with machine learning
- Cross-dimensional adaptivity research on a 3D earth observation data cube model
- Geochronology and geochemistry of late Paleozoic volcanic rocks in eastern Inner Mongolia and their geological significance
- Spatial and temporal evolution of land use and habitat quality in arid regions – a case of Northwest China
- Ground-penetrating radar imaging of subsurface karst features controlling water leakage across Wadi Namar dam, south Riyadh, Saudi Arabia
- Rayleigh wave dispersion inversion via modified sine cosine algorithm: Application to Hangzhou, China passive surface wave data
- Fractal insights into permeability control by pore structure in tight sandstone reservoirs, Heshui area, Ordos Basin
- Debris flow hazard characteristic and mitigation in Yusitong Gully, Hengduan Mountainous Region
- Research on community characteristics of vegetation restoration in hilly power engineering based on multi temporal remote sensing technology
- Identification of radial drainage networks based on topographic and geometric features
- Trace elements and melt inclusion in zircon within the Qunji porphyry Cu deposit: Application to the metallogenic potential of the reduced magma-hydrothermal system
- Pore, fracture characteristics and diagenetic evolution of medium-maturity marine shales from the Silurian Longmaxi Formation, NE Sichuan Basin, China
- Study of the earthquakes source parameters, site response, and path attenuation using P and S-waves spectral inversion, Aswan region, south Egypt
- Source of contamination and assessment of potential health risks of potentially toxic metal(loid)s in agricultural soil from Al Lith, Saudi Arabia
- Regional spatiotemporal evolution and influencing factors of rural construction areas in the Nanxi River Basin via GIS
- An efficient network for object detection in scale-imbalanced remote sensing images
- Effect of microscopic pore–throat structure heterogeneity on waterflooding seepage characteristics of tight sandstone reservoirs
- Environmental health risk assessment of Zn, Cd, Pb, Fe, and Co in coastal sediments of the southeastern Gulf of Aqaba
- A modified Hoek–Brown model considering softening effects and its applications
- Evaluation of engineering properties of soil for sustainable urban development
- The spatio-temporal characteristics and influencing factors of sustainable development in China’s provincial areas
- Application of a mixed additive and multiplicative random error model to generate DTM products from LiDAR data
- Gold vein mineralogy and oxygen isotopes of Wadi Abu Khusheiba, Jordan
- Prediction of surface deformation time series in closed mines based on LSTM and optimization algorithms
- 2D–3D Geological features collaborative identification of surrounding rock structural planes in hydraulic adit based on OC-AINet
- Spatiotemporal patterns and drivers of Chl-a in Chinese lakes between 1986 and 2023
- Land use classification through fusion of remote sensing images and multi-source data
- Nexus between renewable energy, technological innovation, and carbon dioxide emissions in Saudi Arabia
- Analysis of the spillover effects of green organic transformation on sustainable development in ethnic regions’ agriculture and animal husbandry
- Factors impacting spatial distribution of black and odorous water bodies in Hebei
- Large-scale shaking table tests on the liquefaction and deformation responses of an ultra-deep overburden
- Impacts of climate change and sea-level rise on the coastal geological environment of Quang Nam province, Vietnam
- Reservoir characterization and exploration potential of shale reservoir near denudation area: A case study of Ordovician–Silurian marine shale, China
- Seismic prediction of Permian volcanic rock reservoirs in Southwest Sichuan Basin
- Application of CBERS-04 IRS data to land surface temperature inversion: A case study based on Minqin arid area
- Geological characteristics and prospecting direction of Sanjiaoding gold mine in Saishiteng area
- Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU
- Geochronology, geochemical characteristics, and tectonic significance of the granites, Menghewula, Southern Great Xing’an range
- Hazard classification of active faults in Yunnan base on probabilistic seismic hazard assessment
- Characteristics analysis of hydrate reservoirs with different geological structures developed by vertical well depressurization
- Estimating the travel distance of channelized rock avalanches using genetic programming method
- Landscape preferences of hikers in Three Parallel Rivers Region and its adjacent regions by content analysis of user-generated photography
- New age constraints of the LGM onset in the Bohemian Forest – Central Europe
- Characteristics of geological evolution based on the multifractal singularity theory: A case study of Heyu granite and Mesozoic tectonics
- Soil water content and longitudinal microbiota distribution in disturbed areas of tower foundations of power transmission and transformation projects
- Oil accumulation process of the Kongdian reservoir in the deep subsag zone of the Cangdong Sag, Bohai Bay Basin, China
- Investigation of velocity profile in rock–ice avalanche by particle image velocimetry measurement
- Optimizing 3D seismic survey geometries using ray tracing and illumination modeling: A case study from Penobscot field
- Sedimentology of the Phra That and Pha Daeng Formations: A preliminary evaluation of geological CO2 storage potential in the Lampang Basin, Thailand
- Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model
- Map analysis of soil erodibility rates and gully erosion sites in Anambra State, South Eastern Nigeria
- Identification and driving mechanism of land use conflict in China’s South-North transition zone: A case study of Huaihe River Basin
- Evaluation of the impact of land-use change on earthquake risk distribution in different periods: An empirical analysis from Sichuan Province
- A test site case study on the long-term behavior of geotextile tubes
- An experimental investigation into carbon dioxide flooding and rock dissolution in low-permeability reservoirs of the South China Sea
- Detection and semi-quantitative analysis of naphthenic acids in coal and gangue from mining areas in China
- Comparative effects of olivine and sand on KOH-treated clayey soil
- YOLO-MC: An algorithm for early forest fire recognition based on drone image
- Earthquake building damage classification based on full suite of Sentinel-1 features
- Potential landslide detection and influencing factors analysis in the upper Yellow River based on SBAS-InSAR technology
- Assessing green area changes in Najran City, Saudi Arabia (2013–2022) using hybrid deep learning techniques
- An advanced approach integrating methods to estimate hydraulic conductivity of different soil types supported by a machine learning model
- Hybrid methods for land use and land cover classification using remote sensing and combined spectral feature extraction: A case study of Najran City, KSA
- Streamlining digital elevation model construction from historical aerial photographs: The impact of reference elevation data on spatial accuracy
- Analysis of urban expansion patterns in the Yangtze River Delta based on the fusion impervious surfaces dataset
- A metaverse-based visual analysis approach for 3D reservoir models
- Late Quaternary record of 100 ka depositional cycles on the Larache shelf (NW Morocco)
- Integrated well-seismic analysis of sedimentary facies distribution: A case study from the Mesoproterozoic, Ordos Basin, China
- Study on the spatial equilibrium of cultural and tourism resources in Macao, China
- Urban road surface condition detecting and integrating based on the mobile sensing framework with multi-modal sensors
- Application of improved sine cosine algorithm with chaotic mapping and novel updating methods for joint inversion of resistivity and surface wave data
- The synergistic use of AHP and GIS to assess factors driving forest fire potential in a peat swamp forest in Thailand
- Dynamic response analysis and comprehensive evaluation of cement-improved aeolian sand roadbed
- Rock control on evolution of Khorat Cuesta, Khorat UNESCO Geopark, Northeastern Thailand
- Gradient response mechanism of carbon storage: Spatiotemporal analysis of economic-ecological dimensions based on hybrid machine learning
- Comparison of several seismic active earth pressure calculation methods for retaining structures
- Mantle dynamics and petrogenesis of Gomer basalts in the Northwestern Ethiopia: A geochemical perspective
- Study on ground deformation monitoring in Xiong’an New Area from 2021 to 2023 based on DS-InSAR
- Paleoenvironmental characteristics of continental shale and its significance to organic matter enrichment: Taking the fifth member of Xujiahe Formation in Tianfu area of Sichuan Basin as an example
- Equipping the integral approach with generalized least squares to reconstruct relict channel profile and its usage in the Shanxi Rift, northern China
- InSAR-driven landslide hazard assessment along highways in hilly regions: A case-based validation approach
- Attribution analysis of multi-temporal scale surface streamflow changes in the Ganjiang River based on a multi-temporal Budyko framework
- Maps analysis of Najran City, Saudi Arabia to enhance agricultural development using hybrid system of ANN and multi-CNN models
- Hybrid deep learning with a random forest system for sustainable agricultural land cover classification using DEM in Najran, Saudi Arabia
- Long-term evolution patterns of groundwater depth and lagged response to precipitation in a complex aquifer system: Insights from Huaibei Region, China
- Remote sensing and machine learning for lithology and mineral detection in NW, Pakistan
- Spatial–temporal variations of NO2 pollution in Shandong Province based on Sentinel-5P satellite data and influencing factors
- Numerical modeling of geothermal energy piles with sensitivity and parameter variation analysis of a case study
- Stability analysis of valley-type upstream tailings dams using a 3D model
- Variation characteristics and attribution analysis of actual evaporation at monthly time scale from 1982 to 2019 in Jialing River Basin, China
- Investigating machine learning and statistical approaches for landslide susceptibility mapping in Minfeng County, Xinjiang
- Investigating spatiotemporal patterns for comprehensive accessibility of service facilities by location-based service data in Nanjing (2016–2022)
- A pre-treatment method for particle size analysis of fine-grained sedimentary rocks, Bohai Bay Basin, China
- Study on the formation mechanism of the hard-shell layer of liquefied silty soil
- Comprehensive analysis of agricultural CEE: Efficiency assessment, mechanism identification, and policy response – A case study of Anhui Province
- Simulation study on the damage and failure mechanism of the surrounding rock in sanded dolomite tunnels
- Towards carbon neutrality: Spatiotemporal evolution and key influences on agricultural ecological efficiency in Northwest China
- High-frequency cycles drive the cyclical enrichment of oil in porous carbonate reservoirs: A case study of the Khasib Formation in E Oilfield, Mesopotamian Basin, Iraq
- Reconstruction of digital core models of granular rocks using mathematical morphology
- Spatial–temporal differentiation law of habitat quality and its driving mechanism in the typical plateau areas of the Loess Plateau in the recent 30 years
- A machine-learning-based approach to predict potential oil sites: Conceptual framework and experimental evaluation
- Effects of landscape pattern change on waterbird diversity in Xianghai Nature Reserve
- Research on intelligent classification method of highway tunnel surrounding rock classification based on parameters while drilling
- River morphology and tectono-sedimentary analysis of a shallow river delta: A case study of Putaohua oil layer in Saertu oilfield (L. Cretaceous), China
- Dynamic change in quarterly FVC of urban parks based on multi-spectral UAV images: A case study of people’s park and harmony park in Xinxiang, China
- Review Articles
- Humic substances influence on the distribution of dissolved iron in seawater: A review of electrochemical methods and other techniques
- Applications of physics-informed neural networks in geosciences: From basic seismology to comprehensive environmental studies
- Ore-controlling structures of granite-related uranium deposits in South China: A review
- Shallow geological structure features in Balikpapan Bay East Kalimantan Province – Indonesia
- A review on the tectonic affinity of microcontinents and evolution of the Proto-Tethys Ocean in Northeastern Tibet
- Advancements in machine learning applications for mineral prospecting and geophysical inversion: A review
- Special Issue: Natural Resources and Environmental Risks: Towards a Sustainable Future - Part II
- Depopulation in the Visok micro-region: Toward demographic and economic revitalization
- Special Issue: Geospatial and Environmental Dynamics - Part II
- Advancing urban sustainability: Applying GIS technologies to assess SDG indicators – a case study of Podgorica (Montenegro)
- Spatiotemporal and trend analysis of common cancers in men in Central Serbia (1999–2021)
- Minerals for the green agenda, implications, stalemates, and alternatives
- Spatiotemporal water quality analysis of Vrana Lake, Croatia
- Functional transformation of settlements in coal exploitation zones: A case study of the municipality of Stanari in Republic of Srpska (Bosnia and Herzegovina)
- Hypertension in AP Vojvodina (Northern Serbia): A spatio-temporal analysis of patients at the Institute for Cardiovascular Diseases of Vojvodina
- Regional patterns in cause-specific mortality in Montenegro, 1991–2019
- Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina
- Flash flood susceptibility mapping using LiDAR-Derived DEM and machine learning algorithms: Ljuboviđa case study, Serbia
- Geocultural heritage as a basis for geotourism development: Banjska Monastery, Zvečan (Serbia)
- Assessment of groundwater potential zones using GIS and AHP techniques – A case study of the zone of influence of Kolubara Mining Basin
- Impact of the agri-geographical transformation of rural settlements on the geospatial dynamics of soil erosion intensity in municipalities of Central Serbia
- Where faith meets geomorphology: The cultural and religious significance of geodiversity explored through geospatial technologies
- Applications of local climate zone classification in European cities: A review of in situ and mobile monitoring methods in urban climate studies
- Complex multivariate water quality impact assessment on Krivaja River
- Ionization hotspots near waterfalls in Eastern Serbia’s Stara Planina Mountain
- Shift in landscape use strategies during the transition from the Bronze age to Iron age in Northwest Serbia
- Assessing the geotourism potential of glacial lakes in Plav, Montenegro: A multi-criteria assessment by using the M-GAM model
- Flash flood potential index at national scale: Susceptibility assessment within catchments
- SWAT modelling and MCDM for spatial valuation in small hydropower planning
- Disaster risk perception and local resilience near the “Duboko” landfill: Challenges of governance, management, trust, and environmental communication in Serbia